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Field
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imaging and monitoring of resin infusion in sample composite structures to build the digital twin and then explore methods for defect prediction and real time process control. The improved process
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passionate learners to join our team. Candidates should have a background in molecular biology and/or informatics and be fluent in English (written & oral). Experience in handling genetic data, proficiency in
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focus on the medical image processing aspect of the Birth4Cast simulator by researching and developing automated image segmentation procedures to extract the pelvic floor muscle complex and the fetal head
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will also design and develop new software and prototype models. Research areas: Computer science, Simulation-based automated synthesis and verification of human physiology models, Artificial intelligence
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engineering or a related field; strong skills in data analysis, machine learning or computational modeling, preferably applied to neuroimaging data; experience with programming and data analysis (e.g. Python
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for children and young adults. You are a creative and enthusiastic researcher with an MSc degree in Physics, Engineering or Biomedical Engineering, or similar. You have a clear interest in developing imaging
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include training in computer science, human-computer interaction, etc. A Master’s degree is desirable. In addition, candidates for whom English is a second language should meet the University’s minimum
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to study the effects of altered gas and pressure on the human brain. The studentship will start on 01 April 2026. This collaborative project is based at the University of Plymouth’s Brain Research & Imaging
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written English. Willingness to contribute to the Biology teaching program at BSc and MSc levels, in particular in the area of Animal Physiology and Zoology. Interest in working in an interdisciplinary
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organizational levels of the brain – from molecular and cellular processes to complex neuronal networks and behavior. In association with the SFB 1436, Neural Resources of Cognition (supported by the German